Pre-processing of input features using lpc and warping process

Rubita Sudirman, Sh Hussain Salleh, Ting Chee Ming

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

1 Citation (Scopus)


This paper presents pre-processing of input features to artificial neural network (NN). This is for preparation of reliable reference templates for the set of words to be recognized. The first task is to extract pitch features using Pitch Scale Harmonic Filter (PSHF) algorithm. Another task is to align the input frames (test set) to the reference template (training set) using a modified DTW algorithm called DTW fixing frame (DTW-FF) algorithm. This proper time normalization is needed since NN is designed to compare data of the same length; same speech can varies in their duration. By performing frame fixing or time normalization, the test set and the training set is adjusted to a fix number of frames throughout the sets utilizing the local distance score of the matched features. Then those features can be adapted to NN for further recognition tuning.

Original languageEnglish
Title of host publication2005 1st International Conference on Computers, Communications and Signal Processing with Special Track on Biomedical Engineering, CCSP 2005
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
EventInternational Conference on Computers, Communications and Signal Processing 2005 - Kuala Lumpur, Malaysia
Duration: 14 Nov 200516 Nov 2005
Conference number: 1st (Proceedings)


ConferenceInternational Conference on Computers, Communications and Signal Processing 2005
Abbreviated titleCCSP 2005
CityKuala Lumpur
Internet address

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